About this role
About the Role Scotiabank is seeking a highly specialized and innovative Data Scientist to join our Global Artificial Intelligence and Machine Learning team. This role is central to building and deploying next-generation AI/ML products across the bank’s business lines, focusing specifically on leveraging advanced Large Language Models (LLMs) to transform how we process, understand, and extract value from complex, unstructured documents. The ideal candidate will be an integral part of the organization’s AI/ML strategy, using cutting-edge Gemini prompting techniques and robust Python coding to solve high-impact business challenges. What You'll Do
- Develop, test, and implement highly effective models optimized for specific document understanding tasks (e.g., data extraction, classification).
- Write and maintain high-quality Python code to preprocess, process, and analyze large volumes of structured and unstructured documents, building robust data pipelines.
- Design, build, and rigorously evaluate specialized machine learning models for document understanding, ensuring accuracy, fairness, and scalability.
- Collaborate with Data Engineers and software developers to develop and deploy document understanding solutions efficiently and reliably into production environments.
- Stay up-to-date on the latest advances in generative AI, Python coding libraries. What We're Looking For
- A highly specialized and innovative Data Scientist with a track record of delivering AI/ML solutions.
- Experience with production-grade models, document understanding, and large language models, including Gemini prompting techniques, and strong Python coding.
- Ability to work with cross-functional teams including data scientists, data engineers, AI/ML product managers, and software developers.
- Experience building and maintaining robust data pipelines and deploying solutions to production.
- Understanding of how the Bank’s risk appetite and risk culture should be considered in AI/ML decision making.